Skip to main content
Top
Published in: Journal of Scientific Computing 3/2016

17-02-2016

Modelling of Biological Decontamination of a Water Resource in Natural Environment and Related Feedback Strategies

Authors: S. Barbier, A. Rapaport, A. Rousseau

Published in: Journal of Scientific Computing | Issue 3/2016

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

We show how to combine numerical schemes and calibration of systems of o.d.e. to provide efficient feedback strategies for the biological decontamination of water resources. For natural resources, we retain to introduce any bacteria in the resource and treat it aside preserving a constant volume of the resource at any time. The feedback strategies are derived from the minimal time synthesis of the system of o.d.e.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Footnotes
1
For the sake of simplicity, we assume that the pollution is driven by a 2D flow (at the surface of the water resource).
 
2
In the case where the viscosity coefficient \(\nu _{S}\) is zero (or very small), these boundary conditions are equivalent (or similar).
 
Literature
1.
go back to reference Alford, J.: Bioprocess control: advances and challenges. Comput. Chem. Eng. 30, 1464–1475 (2006)CrossRef Alford, J.: Bioprocess control: advances and challenges. Comput. Chem. Eng. 30, 1464–1475 (2006)CrossRef
2.
go back to reference Banga, J., Balsa-Canto, E., Moles, C., Alonso, A.: Dynamic optimization of bioreactors: a review. Proc. Indian Acad. Sci. 69, 257–265 (2003)MathSciNetMATH Banga, J., Balsa-Canto, E., Moles, C., Alonso, A.: Dynamic optimization of bioreactors: a review. Proc. Indian Acad. Sci. 69, 257–265 (2003)MathSciNetMATH
4.
go back to reference D’Ans, G., Gottlieb, D., Kokotovic, P.: Optimal control of bacterial growth. Automatica 8, 729–736 (1972)CrossRefMATH D’Ans, G., Gottlieb, D., Kokotovic, P.: Optimal control of bacterial growth. Automatica 8, 729–736 (1972)CrossRefMATH
5.
go back to reference Estrada, V., Parodi, E.R., Diaz, M.S.: Addressing the control problem of algae growth in water reservoirs with advanced dynamic optimization approaches. Comput. Chem. Eng. 33, 2063–2074 (2009)CrossRef Estrada, V., Parodi, E.R., Diaz, M.S.: Addressing the control problem of algae growth in water reservoirs with advanced dynamic optimization approaches. Comput. Chem. Eng. 33, 2063–2074 (2009)CrossRef
6.
7.
go back to reference Gajardo, P., Ramirez, H., Riquelme, V., Rapaport, A.: Bioremediation of natural water resources via optimal control techniques. In: Mondaini, R. (Eds.), BIOMAT 2011: International Symposium on Mathematical and Computational Biology, pp. 178–190. World Scientific (2012) Gajardo, P., Ramirez, H., Riquelme, V., Rapaport, A.: Bioremediation of natural water resources via optimal control techniques. In: Mondaini, R. (Eds.), BIOMAT 2011: International Symposium on Mathematical and Computational Biology, pp. 178–190. World Scientific (2012)
8.
go back to reference Gulati, R.D., van Donk, E.: Lakes in the netherlands, their origin, eutrophication and restoration: state of the art reviews. Hydrobiologia 478, 73–106 (2002)CrossRef Gulati, R.D., van Donk, E.: Lakes in the netherlands, their origin, eutrophication and restoration: state of the art reviews. Hydrobiologia 478, 73–106 (2002)CrossRef
9.
go back to reference Hecht, F.: New development in FreeFem++. J. Numer. Math. 20(3–4), 251–265 (2012) Hecht, F.: New development in FreeFem++. J. Numer. Math. 20(3–4), 251–265 (2012)
10.
go back to reference Kittisupakorn, P., Hussain, M.: Comparison of optimisation based control techniques for the control of a cstr. Int. J. Comput. Appl. Technol. 13(3–5), 178–184 (2000)CrossRef Kittisupakorn, P., Hussain, M.: Comparison of optimisation based control techniques for the control of a cstr. Int. J. Comput. Appl. Technol. 13(3–5), 178–184 (2000)CrossRef
11.
go back to reference Kokotovic, P., D’Ans, G., Gottlieb, D.: Time-optimal control for a model of bacterial growth. J. Optim. Theory Appl. 7, 61–69 (1971)MathSciNetCrossRefMATH Kokotovic, P., D’Ans, G., Gottlieb, D.: Time-optimal control for a model of bacterial growth. J. Optim. Theory Appl. 7, 61–69 (1971)MathSciNetCrossRefMATH
12.
go back to reference Ravindran, S.S.: A reduced-order approach for optimal control of fluids using proper orthogonal decomposition. Int. J. Numer. Methods Fluids 34(5), 425–448 (2000)MathSciNetCrossRefMATH Ravindran, S.S.: A reduced-order approach for optimal control of fluids using proper orthogonal decomposition. Int. J. Numer. Methods Fluids 34(5), 425–448 (2000)MathSciNetCrossRefMATH
14.
go back to reference Sondergaard, M., Jeppesen, E., Lauridsen, T.L., Skov, C., van Nes, E.H., Roijackers, R., Lammens, E., Portielje, R.: Lake restoration: successes, failures and long term effects. J. Appl. Ecol. 44, 1095–1105 (2007)CrossRef Sondergaard, M., Jeppesen, E., Lauridsen, T.L., Skov, C., van Nes, E.H., Roijackers, R., Lammens, E., Portielje, R.: Lake restoration: successes, failures and long term effects. J. Appl. Ecol. 44, 1095–1105 (2007)CrossRef
15.
go back to reference Soukkou, A., Khellaf, A., Leulmi, S., Boudeghdegh, K.: Optimal control of a cstr process. Braz. J. Chem. Eng 25(4), 799–812 (2008)CrossRef Soukkou, A., Khellaf, A., Leulmi, S., Boudeghdegh, K.: Optimal control of a cstr process. Braz. J. Chem. Eng 25(4), 799–812 (2008)CrossRef
16.
go back to reference Spitzer, D.: Maximization of steady-state bacterial production in a chemostat with pH and substrate control. Biotechnol. Bioeng. 18(2), 167–178 (2004)CrossRef Spitzer, D.: Maximization of steady-state bacterial production in a chemostat with pH and substrate control. Biotechnol. Bioeng. 18(2), 167–178 (2004)CrossRef
17.
go back to reference Smith, H.L., Waltman, P.: The theory of the chemostat. In: Cannings, C., Hoppensteadt, F. C., Segel, L. A. (eds.) Cambridge Studies in Mathematical Biology, vol. 13. Cambridge University Press, Cambridge (1995) Smith, H.L., Waltman, P.: The theory of the chemostat. In: Cannings, C., Hoppensteadt, F. C., Segel, L. A. (eds.) Cambridge Studies in Mathematical Biology, vol. 13. Cambridge University Press, Cambridge (1995)
18.
go back to reference Temam, R.: Navier–Stokes equations. Theory and numerical analysis. AMS Chelsea Publishing, Providence, RI. Reprint of the 1984 edition (2001) Temam, R.: Navier–Stokes equations. Theory and numerical analysis. AMS Chelsea Publishing, Providence, RI. Reprint of the 1984 edition (2001)
Metadata
Title
Modelling of Biological Decontamination of a Water Resource in Natural Environment and Related Feedback Strategies
Authors
S. Barbier
A. Rapaport
A. Rousseau
Publication date
17-02-2016
Publisher
Springer US
Published in
Journal of Scientific Computing / Issue 3/2016
Print ISSN: 0885-7474
Electronic ISSN: 1573-7691
DOI
https://doi.org/10.1007/s10915-016-0178-9

Other articles of this Issue 3/2016

Journal of Scientific Computing 3/2016 Go to the issue

Premium Partner